Nazlı Turhan, Ahmet Haşim Yurttakal
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引用次数: 0

摘要

虽然人工智能(AI)技术被用于卫生、教育、艺术等许多领域,并继续迅速发展,但信息学和法律等不同学科也在研究新兴的人工智能解决方案。除了法律规则跟不上社会变化速度的问题外,近年来,人们开始感到需要寻找一种适合跟上这些变化的法律基础设施。在这项研究中,在知识和艺术作品法的范围内,讨论和评估了使用深度学习算法的有争议的生产者网络创建的数字艺术品的技术阶段。在这项研究中,使用了6989幅抽象画和肖像画,它们是维基艺术数据集的一个子集。因此,可以看出数据集中图像的数量会影响输出的原创性。人们认为,所提出的方法可以应用于不同的艺术分支,可以给艺术爱好者一个不同的视角。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Derin Evrişim Tabanlı Çekişmeli Üretici Ağları İle Uçtan Uca Sanat Eserleri Üretimi
While artificial intelligence (AI) technologies are used in many fields such as health, education, art and continue to develop rapidly, emerging artificial intelligence solutions are also being addressed by different disciplines, such as informatics and law. Apart from the problems of legal rules' having access to the speed of social change, the search of a legal infrastructure that is suitable for keeping up with these changes has started to make itself felt in recent years. In the study, the technical stages of digital artworks created by using contentious producer networks from deep learning algorithms were discussed and evaluated within the scope of intellectual and artistic works law. In the study, 6989 abstract and portrait paintings, which are a subset of the Wiki-Art dataset, were used. As a result, it has been seen that the number of images in the dataset affects the originality of the outputs. It is thought that the proposed method can be applied to different branches of art and can give art lovers a different perspective.
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